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Subira
- Rate 257 BWP
- Response 1h
-
Students30
Number of students Subira has accompanied since arriving at Superprof
Number of students Subira has accompanied since arriving at Superprof
257 BWP/hr
Contact
- Python
- HTML
- CSS
- Artificial Intelligence
- PostgreSQL
Student of Bachelor Computer Science- Artificial Intelligence , Latrobe University. Simple and fun way to learn coding especially in python.
- Python
- HTML
- CSS
- Artificial Intelligence
- PostgreSQL
Lesson location
About Subira
Hi, I am in my final year of Bachelor of Computer Science, Artificial Intelligence. I am proficient in Python, HTML, CSS, SQL, Java, JavaScript, AI tools and others. I have 2 years of experience in tutoring coding language as well as Art.
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About the lesson
- Primary
- Junior Secondary
- Secondary School
- +14
levels :
Primary
Junior Secondary
Secondary School
Première
Diploma
Adult Training
Bachelor's Degree
Master's Degree
Diplomgrad
Doctorate
Early Childhood education
Beginner
Intermediate
Advanced
Professional
Others
Children
- English
All languages in which the lesson is available :
English
Beginners:
Lesson Plan: Introduction to Python Programming for Beginners
Objective: Introduce students to Python programming basics, including syntax, variables, data types, and simple control flow.
Duration: 4-6 sessions of 1-2 hours each.
Topics Covered:
Introduction to Python and its applications
Setting up the development environment
Basic syntax: print statements, comments, indentation
Variables and data types: integers, floats, strings, booleans
Control flow: if statements, for loops, while loops
Activities:
Hands-on coding exercises after each concept
Mini-projects like creating a simple calculator or guessing game
Q&A sessions to clarify doubts and reinforce learning
Assessment:
Completion of exercises and projects
Participation in discussions and Q&A sessions
Intermediate:
Lesson Plan: Intermediate Python Programming
Objective: Build upon basic Python skills and introduce more advanced concepts such as functions, modules, file handling, and error handling.
Duration: 6-8 sessions of 1-2 hours each.
Topics Covered:
Review of basic concepts
Functions: defining, calling, parameters, return values
Working with modules and libraries
File handling: reading from and writing to files
Exception handling: try-except blocks
Introduction to object-oriented programming (OOP) concepts
Activities:
Developing more complex programs and scripts
Exploring third-party libraries and APIs
Collaborative coding projects to apply learned concepts
Assessment:
Completion of coding assignments and projects
Demonstrating understanding through code reviews and discussions
Advanced:
Lesson Plan: Advanced Python Programming
Objective: Challenge experienced learners with advanced Python topics like data structures, algorithms, advanced OOP, functional programming, and web development.
Duration: Ongoing sessions tailored to student needs and interests.
Topics Covered:
Data structures: lists, tuples, dictionaries, sets
Advanced algorithms and problem-solving techniques
Advanced OOP: inheritance, polymorphism, encapsulation
Functional programming: lambda functions, map, filter, reduce
Web development with frameworks like Django or Flask
Introduction to data science, machine learning, and artificial intelligence with Python libraries like NumPy, pandas, scikit-learn, TensorFlow, or PyTorch
Activities:
Solving complex coding challenges and algorithms
Building full-stack web applications or data science projects
Exploring specialized topics based on student interests
Assessment:
Completion and presentation of advanced projects
Participation in discussions and exploration of advanced topics
Code reviews and feedback sessions to enhance coding skills and problem-solving abilities
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Rates
Rate
- 257 BWP
Pack prices
- 5h: 1285 BWP
- 10h: 2570 BWP
online
- 257 BWP/h
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